Model comparison
Claude Haiku 4.5 vs Qwen3 32B
Claude Haiku 4.5 and Qwen3 32B score almost the same on the Noometry Index (39.5 vs 39.2), so choose on price, context window or the category you care about most.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 6 categories and Qwen3 32B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Claude Haiku 4.5 leads 44.0 to 37.7.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 68.7% for Claude Haiku 4.5 and 48.7% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1 / $5 for Claude Haiku 4.5.
- Claude Haiku 4.5 accepts more context: 200K tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Qwen3 32B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 39.2 |
| Released | 2025-10-15 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 64K | 16K |
| Input $ / M tokens | $1 | $0.70 |
| Output $ / M tokens | $5 | $2.80 |
| Results tracked | 53 | 26 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Qwen3 32B: 37.7 (#190)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| SciCode | 43.3% | 35.4% |
| LMArena Coding | 1453 | 1358 |
| SWE-bench Verified (bash only) | 66.6% | — |
| Aider Polyglot | — | 40% |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| WeirdML | 45.4% | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Claude Haiku 4.5 leads
Claude Haiku 4.5: 33.6 (#52), Qwen3 32B: 32.6 (#62)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 68.7% | 48.7% |
| Terminal-Bench | 35.5% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Qwen3 32B leads
Claude Haiku 4.5: 15.1 (#320), Qwen3 32B: 20.2 (#241)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| CritPt | 0% | 0.3% |
| Chess Puzzles | 8% | 5% |
| LMArena Hard Prompts | 1420 | 1334 |
| DTBench | 73.6% | 67.5% |
| LMCA | 30.9% | 17.3% |
| Epoch Capabilities Index | 142.41 | 138.51 |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| ForecastBench | 61.4 | — |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Qwen3 32B: 39.7 (#99)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 66.9% |
| LMArena Math | 1396 | 1399 |
| Omni-MATH | 56.1% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Qwen3 32B leads
Claude Haiku 4.5: 37.7 (#153), Qwen3 32B: 40.0 (#125)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 71.2% | 65.7% |
| Vectara Hallucination Rate | 9.8% | 5.9% |
| LMArena Expert | 1442 | 1362 |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Qwen3 32B: —
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Qwen3 32B: 45.6 (#167)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1377 | 1317 |
| LMArena Chinese | 1417 | 1357 |
| LMArena German | 1375 | 1341 |
| LMArena Russian | 1381 | 1311 |
| LMArena French | 1408 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Qwen3 32B: 68.9 (#179)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1414 | 1305 |
| IFEval | 80.1% | — |
Long Context Too close to call
Claude Haiku 4.5: 43.6 (#92), Qwen3 32B: 43.8 (#87)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1427 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Qwen3 32B: 52.9 (#163)
| Benchmark | Claude Haiku 4.5 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1396 | 1340 |
| LMArena Creative Writing | 1372 | 1297 |
| LMArena Multi-Turn | 1409 | 1331 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Qwen3 32B?
Claude Haiku 4.5 and Qwen3 32B score almost the same on the Noometry Index (39.5 vs 39.2), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Haiku 4.5 or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.
Is Claude Haiku 4.5 or Qwen3 32B better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
Claude Haiku 4.5 does, with 200K tokens against 131K.
How many benchmarks do Claude Haiku 4.5 and Qwen3 32B share?
23 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Qwen3 32B has 26.